Latest AI and machine learning research in transplantation for healthcare professionals.
Organic materials have been widely recognized as highly promising candidates for two-photon absorption (TPA) applications owing to their strong optical absorption, readily tunable molecular structures, and excellent processability. By introducing electron donors (D) and acceptors (A) either within molecules or through intermolecular interactions, D-A-type organic TPA materials have been successful...
Tumor vasculature has traditionally been viewed as structurally and functionally abnormal and, therefore, is primarily targeted for inhibition. However, emerging evidence from vascular biology, regenerative medicine, and bioengineering challenges this paradigm, demonstrating that blood vessels actively instruct and shape the tumor microenvironment. Here, we propose that tumor vasculature functions...
Organoid-AI platforms are becoming decision systems in drug discovery, not just combined tools. They shape compound prioritisation, toxicity assessmen...
OBJECTIVE: To develop and evaluate deep learning models for upper abdominal ultrasound standard section recognition and downstream multi-organ segment...
BACKGROUND: Reproducibility and cross-species translation using the domestic pig (Sus scrofa) are limited by the lack of a standardised molecular fram...
The poor prognosis of high‑grade gliomas, such as glioblastoma, is largely driven by a notably immunosuppressive tumor microenvironment (TME), wherein...
BACKGROUND: Organ recovery for transplantation costs approximately $40,000 per donor, yet nearly 20% of recovered kidneys ultimately go unused. Static...
Cheminformatic analysis has been an active field for almost half a century, with considerable innovation accelerating drug discovery. However, the req...
BACKGROUND: Informal caregivers of people living with dementia often experience high rates of caregiver burnout while providing care. Although there a...
Emerging evidence indicates that aberrant cholesterol metabolism in macrophages plays a role in tumorigenesis, however, how specific metabolites relea...
Computational protein design using machine learning models has advanced rapidly since the introduction of AlphaFold2. There is now a suite of tools th...
Oncolytic viruses (OVs) represent a versatile platform for cancer immunotherapy, capable of selectively infecting and lysing tumor cells while trigger...
Mild traumatic brain injury (mTBI) frequently prompts computed tomography (CT) imaging in emergency departments, despite a high proportion of negative...
Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise seconda...
Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric...
BACKGROUND: Biobanks are essential for intelligent medicine but face fragmentation and heterogeneity. No standardized framework exists for assessing b...
BACKGROUND: Prognostic assessment in critically ill cancer patients is challenging due to the suboptimal performance of traditional severity scores. W...
OBJECTIVE: A significant gap exists in medical support for organ transplant patients during out-of-hours (OOH). General large language models (LLMs), ...
Interfacial energy level mismatch and inefficient charge extraction at bioelectrochemical interfaces have remained major bottlenecks for enzymatic bio...
Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime risk of transformation to oral squamous cell carc...